.net Developer

Aquent; Austin (TX); On-site; USD 83,000 - 92,000; Full time

Job summary

Aquent is partnering with a client in the financial services industry for an on-site role in Austin or Southlake. You will contribute to AI-assisted workflows across the SDLC, integrating .NET engineering, event-driven architecture, cloud-native platforms, and Generative AI-assisted delivery.

You will build reliable, scalable solutions for globally distributed markets, leveraging GenAI tools to accelerate implementation, testing, and deployment while ensuring high-quality software delivery.

Qualifications

• We are seeking a senior software engineer with deep .NET and cloud experience.
• You will design scalable, high-volume services and modern data platforms.
• Experience with event-driven architectures and GenAI-assisted delivery is preferred.

Responsibilities

• Design and implement scalable, resilient .NET applications using Kafka and cloud-native patterns.
• Modernize high-volume services and APIs to support billions of transactions daily.
• Collaborate with architects, product owners, and teams to translate requirements into solutions.
• Leverage GenAI coding assistants for implementation, testing, and documentation.
• Apply AI-assisted development practices to improve productivity and quality.
• Enhance production readiness with automated testing and observability.

Skills

.NET

Kafka

Cloud-native

Generative AI

GenAI

CI/CD

Agile

Jira/Confluence

Distributed systems

Event-driven architecture

Education

Bachelor’s degree in Computer Science or related field

Equivalent practical experience

Tools

IBM MQ

Splunk

Docker

Kubernetes

GCP

AWS

PCF

Job description

This is an on-site role in Austin or Southlake. Pay Range: 60/hr – $67/hr

Aquent, a leading talent solutions company, is proud to partner with Kelly OCG to identify top-tier talent for a prestigious client in the financial services industry. This is an unparalleled opportunity to join a team that is building ultra-low latency, high-volume, and reliable next-generation trading and financial technology platforms that process billions of transactions daily. As a pivotal contributor, you will leverage your expertise in .NET and AI to shape the future of financial technology, driving innovation and delivering robust solutions that have a direct impact on critical market operations.

About the Role

We are seeking a highly skilled and passionate individual to contribute to AI-assisted workflows across the System Development Life Cycle. This role offers the chance to work at the forefront of technology, integrating .NET engineering, event-driven architecture, cloud-native platforms, and Generative AI-assisted delivery. You will be instrumental in building reliable business solutions within a complex financial domain, directly influencing the performance and resilience of platforms supporting global financial markets.

Key Responsibilities and Impact

• Contribute to the design and implementation of scalable, resilient, and event-driven applications using .NET, Kafka, and cloud-native architecture patterns, directly impacting the robustness of critical financial systems.


• Build and modernize high-volume services, APIs, and distributed application capabilities that ensure reliable transaction processing and support business-critical workflows for billions of daily transactions.


• Partner closely with architects, product owners, developers, and adjacent technology teams to translate complex business requirements into high-quality technical solutions that drive the firm’s strategic objectives.


• Utilize cutting-edge GenAI coding assistants to significantly accelerate implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation, while maintaining absolute ownership for correctness and quality.


• Apply agentic workflows, prompt engineering, custom instructions, and spec-driven development practices to continuously improve individual and team productivity, fostering an innovative development environment.


• Strengthen engineering quality through rigorous automated testing, disciplined code reviews, performance analysis, observability, resiliency practices, and meticulous production readiness, ensuring unparalleled system reliability.


• Support critical modernization initiatives by migrating legacy capabilities toward distributed .NET services, cloud-native platforms, event-driven architecture, and modern data stores, transforming the technological landscape.


• Collaborate effectively with engineers in a team-oriented environment, actively contributing to the adoption of repeatable and responsible AI-assisted development practices across the organization.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.


• 5+ years of professional software engineering experience developing scalable .NET, cloud-based, or web services applications that support high-volume transactions in highly available environments.


• Hands-on experience designing and implementing scalable, resilient, and event-driven applications using .NET and Kafka, coupled with deep knowledge of distributed systems, stream processing, performance optimization, and cloud-native architectures.


• Working experience with IBM MQ, Kafka, Splunk, JSON/XML, caching, performance analysis and profiling, Twelve-Factor App methodology, resiliency patterns, and observability patterns.


• Demonstrated experience owning technical components or features and collaborating effectively within a software delivery team.


• 4+ years of experience building and deploying cloud-native applications using GCP, Docker, Kubernetes, microservices, and CI/CD practices.


• Experience with cloud platforms and deployment environments such as PCF, AWS, or GCP.


• 2+ years of experience working with databases such as MongoDB, Aerospike, PostgreSQL, or comparable relational and NoSQL platforms.


• Experience contributing to IT transformation or system modernization initiatives involving legacy platforms, distributed .NET applications, or modern data platforms.


• 1+ years of hands‑on experience with AI/ML implementation, production deployment, or AI‑assisted engineering practices.


• Hands‑on experience or practical exposure to Large Language Models such as GPT, Claude, Gemini, PaLM, or comparable enterprise AI platforms.


• Demonstrated hands‑on experience using GenAI coding assistants across SDLC workflows, including implementation, refactoring, unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation.


• Practical familiarity with tools such as GitHub Copilot and/or Claude Code in IDE or CLI-based workflows, with the ability to apply AI assistance to reduce context switching and accelerate delivery beyond code generation.


• Working knowledge of agentic workflows, spec‑driven development, custom instructions, and prompt engineering, with the ability to apply effective AI‑assisted development practices.


• Knowledge of Agile methodology and experience in an Agile working environment.


• Experience with the Atlassian tool stack, including Jira and Confluence.


• Understands broker‑dealer domain capabilities and operations, with preferred experience in the financial services industry.


• Communicates clearly and effectively, with proven ability to collaborate with engineers and cross‑functional partners in a team‑oriented environment.


• Brings a collaborative mindset and bias for action, effectively partnering with developers, architects, and adjacent teams to drive outcomes.

Preferred Qualifications

• Master’s degree in Information Technology, Computer Science, Software Engineering, Artificial Intelligence, or a related degree, or equivalent practical experience.


• Experience in Test Driven Development, Behavior Driven Development, QA automation, and a quality engineering mindset and behaviors.


• Proficient in creating architecture diagrams, design documentation, functional and technical specifications, automated test process documentation, runbooks, and production/test environment documentation.


• Experience with performance engineering, reliability testing, resiliency validation, and operational readiness for high-volume distributed platforms.


• Exposure to AI-assisted SDLC transformation initiatives, internal developer productivity programs, or enterprise AI implementation patterns.


• Experience supporting or mentoring peers on .NET engineering practices, cloud-native implementation, distributed systems, or responsible AI-assisted software delivery.

About Aquent Talent:

• Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match.


• Aquent is an equal‑opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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